131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pytest
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from pytorch_lightning import Trainer
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from pytorch_lightning.plugins import (
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DDPPlugin,
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DDPShardedPlugin,
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DDPSpawnPlugin,
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DDPSpawnShardedPlugin,
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DeepSpeedPlugin,
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TPUSpawnPlugin,
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TrainingTypePluginsRegistry,
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)
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from tests.helpers.runif import RunIf
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def test_training_type_plugins_registry_with_new_plugin():
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class TestPlugin:
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distributed_backend = "test_plugin"
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def __init__(self, param1, param2):
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self.param1 = param1
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self.param2 = param2
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plugin_name = "test_plugin"
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plugin_description = "Test Plugin"
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TrainingTypePluginsRegistry.register(
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plugin_name, TestPlugin, description=plugin_description, param1="abc", param2=123
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)
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assert plugin_name in TrainingTypePluginsRegistry
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assert TrainingTypePluginsRegistry[plugin_name]["description"] == plugin_description
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assert TrainingTypePluginsRegistry[plugin_name]["init_params"] == {"param1": "abc", "param2": 123}
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assert TrainingTypePluginsRegistry[plugin_name]["distributed_backend"] == "test_plugin"
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assert isinstance(TrainingTypePluginsRegistry.get(plugin_name), TestPlugin)
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TrainingTypePluginsRegistry.remove(plugin_name)
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assert plugin_name not in TrainingTypePluginsRegistry
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@pytest.mark.parametrize(
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"plugin_name, init_params",
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[
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("deepspeed", {}),
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("deepspeed_stage_2", {
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"stage": 2
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}),
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("deepspeed_stage_2_offload", {
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"stage": 2,
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"offload_optimizer": True
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}),
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("deepspeed_stage_3", {
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"stage": 3
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}),
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("deepspeed_stage_3_offload", {
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"stage": 3,
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"offload_parameters": True,
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"offload_optimizer": True
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}),
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],
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)
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def test_training_type_plugins_registry_with_deepspeed_plugins(plugin_name, init_params):
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assert plugin_name in TrainingTypePluginsRegistry
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assert TrainingTypePluginsRegistry[plugin_name]["init_params"] == init_params
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assert TrainingTypePluginsRegistry[plugin_name]["plugin"] == DeepSpeedPlugin
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@RunIf(deepspeed=True)
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@pytest.mark.parametrize("plugin", ["deepspeed", "deepspeed_stage_2_offload", "deepspeed_stage_3"])
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def test_deepspeed_training_type_plugins_registry_with_trainer(tmpdir, plugin):
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trainer = Trainer(
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default_root_dir=tmpdir,
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plugins=plugin,
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precision=16,
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)
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assert isinstance(trainer.training_type_plugin, DeepSpeedPlugin)
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def test_tpu_spawn_debug_plugins_registry(tmpdir):
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plugin = "tpu_spawn_debug"
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assert plugin in TrainingTypePluginsRegistry
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assert TrainingTypePluginsRegistry[plugin]["init_params"] == {"debug": True}
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assert TrainingTypePluginsRegistry[plugin]["plugin"] == TPUSpawnPlugin
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trainer = Trainer(plugins=plugin)
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assert isinstance(trainer.training_type_plugin, TPUSpawnPlugin)
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@pytest.mark.parametrize(
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"plugin_name, plugin",
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[
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("ddp_find_unused_parameters_false", DDPPlugin),
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("ddp_spawn_find_unused_parameters_false", DDPSpawnPlugin),
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("ddp_sharded_spawn_find_unused_parameters_false", DDPSpawnShardedPlugin),
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("ddp_sharded_find_unused_parameters_false", DDPShardedPlugin),
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],
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)
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def test_ddp_find_unused_parameters_training_type_plugins_registry(tmpdir, plugin_name, plugin):
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trainer = Trainer(
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default_root_dir=tmpdir,
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plugins=plugin_name,
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)
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assert isinstance(trainer.training_type_plugin, plugin)
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assert plugin_name in TrainingTypePluginsRegistry
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assert TrainingTypePluginsRegistry[plugin_name]["init_params"] == {"find_unused_parameters": False}
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assert TrainingTypePluginsRegistry[plugin_name]["plugin"] == plugin
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